Study on the performance Reverse Logistics System for enterprises base on GA

被引：0
|
作者：
Ming, Ni [1 ]
机构：
[1] E China Jiaotong Univ, Coll Econ & Management, Nanchang 330013, Peoples R China
来源：
PROCEEDINGS OF 2007 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES, VOLS 1 AND 2 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to solve the problem of the natural resource consumption which is threatening the human survival, it is essential to construct the Reverse Logistics System (RLS) in the global scope to acquire the circulation economy. In view of such four factors as the infrastructure of RLS, the level of utilization of RLS, the knowledge level of staff of RLS and the level of system ensures of RLS, the Model of Performance Appraising & Optimizing of the Reverse Logistics System for Enterprises (MPAORLSE) in this article are presented. The model is solved by means of Genetic Algorithms(GA), so its result has much more objectivity. This model can be used to direct enterprises to appraise its performance of RLS, or to compare the performance with that of its rival.
引用
收藏
页码：1204 / 1207
页数：4
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